Articles with "infrared images" as a keyword



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Efficient Object Detection and Classification of Heat Emitting Objects from Infrared Images Based on Deep Learning

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Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-08616-z

Abstract: Object detection from infrared (IR) images recently attracted attention of researches. There are several techniques that can be performed on images in order to detect objects. Deep learning is an efficient technique among these techniques… read more here.

Keywords: object detection; infrared images; classification; deep learning ... See more keywords
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Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning

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Published in 2020 at "Solar Energy"

DOI: 10.1016/j.solener.2020.01.055

Abstract: Abstract With the rising use of photovoltaic and ongoing installation of large-scale photovoltaic systems worldwide, the automation of photovoltaic monitoring methods becomes important, as manual/visual inspection has limited applications. This research work deals with automatic… read more here.

Keywords: deep learning; model; transfer; photovoltaic ... See more keywords
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Deep Generative Modeling of Infrared Images Provides Signature of Cracking in Cross-Linked Polyethylene Pipe.

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Published in 2023 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.3c02564

Abstract: Hyperspectral infrared (IR) images contain a large amount of highly spatially resolved information about the chemical composition of a sample. However, the analysis of hyperspectral IR imaging data for complex heterogeneous systems can be challenging… read more here.

Keywords: generative modeling; cross linked; linked polyethylene; infrared images ... See more keywords
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Automatic internal crack detection from a sequence of infrared images with a triple-threshold Canny edge detector

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Published in 2018 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/aa9857

Abstract: Visual inspection and assessment of the condition of metal structures are essential for safety. Pulse thermography produces visible infrared images, which have been widely applied to detect and characterize defects in structures and materials. When… read more here.

Keywords: detection; sequence infrared; internal crack; infrared images ... See more keywords
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Using Deep Learning in Infrared Images to Enable Human Gesture Recognition for Autonomous Vehicles

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2990636

Abstract: The realization of a novel human gesture recognition algorithm is essential to enable the effective collision avoidance of autonomous vehicles. Compared to visible spectrum cameras, the use of infrared imaging can enable more robust human… read more here.

Keywords: infrared images; gesture; autonomous vehicles; human gesture ... See more keywords
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From Coarse to Fine (FC2F): A New Scheme of Colorizing Thermal Infrared Images

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3000481

Abstract: Colorization of the thermal infrared image is an unsolved problem because usually there is no one-to-one relationship between an object’s color and its temperature. In this paper, we propose a new colorization scheme to address… read more here.

Keywords: new scheme; colorization; infrared images; thermal infrared ... See more keywords
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Detecting Dim Small Target in Infrared Images via Subpixel Sampling Cuneate Network

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3189225

Abstract: Infrared dim small target (IDST) detection is regarded as a critical technology for the interpretation of space-based remote sensing images. In recent years, driven by deep learning technology and the surge of data, remarkable effects… read more here.

Keywords: cuneate network; infrared images; small target; subpixel sampling ... See more keywords
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Arbitrary-Oriented Detection of Insulators in Thermal Imagery via Rotation Region Network

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Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2021.3123107

Abstract: The precise location of insulators in infrared images is of great significance for insulator condition monitoring and fault diagnosis. Due to the characteristics of insulators themselves and the use of handheld infrared cameras, insulators usually… read more here.

Keywords: arbitrary oriented; infrared images; region; detection ... See more keywords
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Nighttime Pedestrian and Vehicle Detection Based on a Fast Saliency and Multifeature Fusion Algorithm for Infrared Images

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3193086

Abstract: In recent years, pedestrian and vehicle detection at night has become an important subject of computer vision applications. Because the environment light is weak at night, the common traditional camera-input algorithms often performs poorly. Pedestrians… read more here.

Keywords: pedestrian vehicle; infrared images; vehicle detection; vehicle ... See more keywords
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Transparent organic upconversion devices displaying high-resolution, single-pixel, low-power infrared images perceived by human vision

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Published in 2023 at "Science Advances"

DOI: 10.1126/sciadv.add7526

Abstract: Crystalline photodiodes remain the most viable infrared sensing technology of choice, yet the opacity and the limitation in pixel size reduction per se restrict their development for supporting high-resolution in situ infrared images. In this… read more here.

Keywords: infrared images; power; human vision; high resolution ... See more keywords
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The Fusion of Unmatched Infrared and Visible Images Based on Generative Adversarial Networks

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Published in 2020 at "Mathematical Problems in Engineering"

DOI: 10.1155/2020/3739040

Abstract: Visible images contain clear texture information and high spatial resolution but are unreliable under nighttime or ambient occlusion conditions. Infrared images can display target thermal radiation information under day, night, alternative weather, and ambient occlusion… read more here.

Keywords: generative adversarial; information; based generative; adversarial networks ... See more keywords